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个人简介

2014-01 ~ 2015-01 美国橡树岭国家实验室(Oak Ridge National Laboratory,ORNL) ASTRO高级研究员,从事储氢装置开发与接头残余应力中子衍射表征研究。 2022-01 ~ 至今 上海交通大学 材料科学与工程学院研究员、博士生导师,从事复杂场景下的智能化焊接研究和教学工作。

研究领域

焊接多信息传感及知识建模 数字化与智能化焊接工程应用 近年来先后主持承担了国家自然科学基金3项、国家重点研发“SLM增材制造不锈钢激光填丝焊接头强韧化研究”专项1项、国家智能制造专项“航天结构制造数字化车间”子课题1项以及企业(中核、中车、上海航天等)横向合作课题多项。作为项目骨干参与了国家智能制造专项课题1项、国家自然基金面上项目1项以及国家自然基金联合基金重点项目1项。先后发表SCI/EI学术论文60余篇,授权国家发明专利15项,登记软著6项。

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Li X, Dai R, Chen S, et al. Offline planning optimization and formation prediction of laser directed energy deposition process[J]. Optics & Laser Technology, 2023, 164: 109510. Liu T, Zheng P, Bao J, et al. A state-of-the-art survey of welding radiographic image analysis: challenges, technologies and applications[J]. Measurement, 2023: 112821. Liu T, Zheng P, Chen H, et al. An attention-based bilinear feature extraction mechanism for fine-grained laser welding molten pool/keyhole defect recognition[J]. Journal of Manufacturing Processes, 2023, 87: 150-159. Wu D, Zhang P, Yu Z,Gao Y, Zhang H,Chen H,et al. Progress and perspectives of in-situ optical monitoring in laser beam welding: Sensing, characterization and modeling[J].Journal of Manufacturing Processes,2022,75: 767-791. Ren X, Huang X, Chai Z, Chen H,et al. A study of dynamic energy partition in belt grinding based on grinding effects and temperature dependent mechanical properties[J]. Journal of Materials Processing Technology, 2021, 294: 117112. Wu D, Chen Y, Chen H, et al. Influences of weaving parameters on dynamic characteristics and stability control of the droplet transfer in arc-weaving P-GMAW process[J]. The International Journal of Advanced Manufacturing Technology, 2022: 1-18. Chen C, Xiao R, Chen H, et al. Prediction of welding quality characteristics during pulsed GTAW process of aluminum alloy by multisensory fusion and hybrid network model[J]. Journal of Manufacturing Processes, 2021, 68: 209-224. Li L, Ren X, Feng H, et al. A novel material removal rate model based on single grain force for robotic belt grinding[J]. Journal of Manufacturing Processes, 2021, 68: 1-12. Liu L, Chen H, Chen S. Quality analysis of CMT lap welding based on welding electronic parameters and welding sound[J]. Journal of Manufacturing Processes, 2022, 74: 1-13. Feng H, Ren X, Li L, Chen H,et al. A novel feature-guided trajectory generation method based on point cloud for robotic grinding of freeform welds[J]. The International Journal of Advanced Manufacturing Technology, 2021, 115(5): 1763-1781. Gao K, Chen H, Zhang X, et al. A novel material removal prediction method based on acoustic sensing and ensemble XGBoost learning algorithm for robotic belt grinding of Inconel 718[J]. The International Journal of Advanced Manufacturing Technology, 2019, 105(1): 217-232. Zhang X, Chen H, Xu L, et al. Cracking mechanism and susceptibility of laser melting deposited Inconel 738 superalloy[J]. Materials & Design, 2019, 183: 108105. Chen H, Song Y, Chen X, et al. In situ studies of full-field residual stress mapping of SS304 stainless steel welds using DIC[J]. The International Journal of Advanced Manufacturing Technology, 2020, 109(1): 45-55. Zhang X, Chai Z, Chen H, et al. A novel method to prevent cracking in directed energy deposition of Inconel 738 by in-situ doping Inconel 718[J]. Materials & Design, 2021, 197: 109214. Xiangfei W, Zhang X, Xukai R, Chen H,et al. Point cloud 3D parent surface reconstruction and weld seam feature extraction for robotic grinding path planning[J]. The International Journal of Advanced Manufacturing Technology, 2020, 107(1-2): 827-841. Chen K, Chen H, Liu L, et al. Prediction of weld bead geometry of MAG welding based on XGBoost algorithm[J]. The International Journal of Advanced Manufacturing Technology, 2019, 101(9): 2283-2295. Wu D, Huang Y, Zhang P, Chen H,et al. Visual-acoustic penetration recognition in variable polarity plasma arc welding process using hybrid deep learning approach[J]. IEEE Access, 2020, 8: 120417-120428. Wu D, Huang Y, Chen H, et al. VPPAW penetration monitoring based on fusion of visual and acoustic signals using t-SNE and DBN model[J]. Materials & Design, 2017, 123: 1-14. Huang Y, Wu D, Lv N, Chen H,et al. Investigation of porosity in pulsed GTAW of aluminum alloys based on spectral and X-ray image analyses[J]. Journal of Materials Processing Technology, 2017, 243: 365-373. Wu D, Chen H, Huang Y, et al. Monitoring of weld joint penetration during variable polarity plasma arc welding based on the keyhole characteristics and PSO-ANFIS[J]. Journal of Materials Processing Technology, 2017, 239: 113-124. Wu D, Chen H, Huang Y, et al. Online monitoring and model-free adaptive control of weld penetration in VPPAW based on extreme learning machine[J]. IEEE Transactions on Industrial Informatics, 2018, 15(5): 2732-2740. Chen H, Wang J, Zhen G, et al. Effects of initial oxide on microstructural and mechanical properties of friction stir welded AA2219 alloy[J]. Materials & Design, 2015, 86: 49-54. Zhang X, Chen H, Xu J, et al. A novel sound-based belt condition monitoring method for robotic grinding using optimally pruned extreme learning machine[J]. Journal of Materials Processing Technology, 2018, 260: 9-19.

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